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Lidar signal processing method for atmospheric coherence length measurement based on the WD-ADMF

Hui Zhou, Chenbo Xie, Yalin Hu, Fahua Shen, Kunming Xing, Bangxin Wang, and Yingjian Wang

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Abstract

A denoising method applied to atmospheric coherent length lidar is proposed. Wavelet decomposition (WD) and the adaptive median filter (ADMF) are combined in this method. In this research, the effectiveness of the WD-ADMF has been verified through simulation and measurement. The results show that this filter algorithm, when applied to lidar data, improves the average peak signal-to-noise ratio (PSNR) and centroid error while maintaining data integrity such that the measurement of coherence length or the inference of $C_n^2$ from coherence length more closely matches simulated truth and measured data.

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